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Bayesian Statistics and Marketing

Author

Listed:
  • Peter E. Rossi

    (Graduate School of Business, University of Chicago, 1101 E. 58th Street, Chicago, Illinois 60637)

  • Greg M. Allenby

    (Fisher College of Business, Ohio State University, 2100 Neil Avenue, Columbus, Ohio 43210)

Abstract

Bayesian methods have become widespread in marketing literature. We review the essence of the Bayesian approach and explain why it is particularly useful for marketing problems. While the appeal of the Bayesian approach has long been noted by researchers, recent developments in computational methods and expanded availability of detailed marketplace data has fueled the growth in application of Bayesian methods in marketing. We emphasize the modularity and flexibility of modern Bayesian approaches. The usefulness of Bayesian methods in situations in which there is limited information about a large number of units or where the information comes from different sources is noted. We include an extensive discussion of open issues and directions for future research.

Suggested Citation

  • Peter E. Rossi & Greg M. Allenby, 2003. "Bayesian Statistics and Marketing," Marketing Science, INFORMS, vol. 22(3), pages 304-328, July.
    • Handle: RePEc:inm:ormksc:v:22:y:2003:i:3:p:304-328
    DOI: 10.1287/mksc.22.3.304.17739
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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